Abstract:
Breast Cancer is considered to be very severe in women but mortality rate of cancer can be minimized by early diagnosis and screening of cancer. The timely identification of cancer at initial stage can enhance the survival rate significantly. Breast cancer occurs from different part of breast tissue. In this paper, study of breast cancer identification is performed using various machine learning techniques. The precise findings can be helpful in predicting malignant or benign cancer. Machine learning technique and computer vision is applied for extracting the features and developing the optimize model by doing hyperparameter of certain values. The analysis is performed using support vector machine and various quality measures are computed such as precision, F1-score and accuracy. The observation shows that attained results are prominent.
